325,39 €
Essential Bioinformatics And Data Mining
Essential Bioinformatics And Data Mining
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Essential Bioinformatics And Data Mining
Essential Bioinformatics And Data Mining
El. knyga:
325,39 €
Essential Bioinformatics and Data mining is specifically designed to make bioinformatics accessible to undergraduates and beginners to prepare them for more advanced analysis.It is written for courses that have a practical, hands-on element and contains many exercises on DNA, RNA, and protein sequence analysis. Additionally, the book includes a chapter on basic background on statistical analysis using relevant biological examples. A chapter on basic concepts of computer aided drug designing has…

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Essential Bioinformatics and Data mining is specifically designed to make bioinformatics accessible to undergraduates and beginners to prepare them for more advanced analysis.It is written for courses that have a practical, hands-on element and contains many exercises on DNA, RNA, and protein sequence analysis. Additionally, the book includes a chapter on basic background on statistical analysis using relevant biological examples. A chapter on basic concepts of computer aided drug designing has been incorporated for students of clinical research. The book is essential reading for students of all levels in molecular biology and bioinformatics, as well as students interested in genomics, clinical research, proteomics, and computational biology.

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Essential Bioinformatics and Data mining is specifically designed to make bioinformatics accessible to undergraduates and beginners to prepare them for more advanced analysis.It is written for courses that have a practical, hands-on element and contains many exercises on DNA, RNA, and protein sequence analysis. Additionally, the book includes a chapter on basic background on statistical analysis using relevant biological examples. A chapter on basic concepts of computer aided drug designing has been incorporated for students of clinical research. The book is essential reading for students of all levels in molecular biology and bioinformatics, as well as students interested in genomics, clinical research, proteomics, and computational biology.

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